[PDF][PDF] Analysis of roadside accident severity on rural and urban roadways

F Wei, Z Cai, Y Guo, P Liu, Z Wang… - Intell. Autom. Soft …, 2021 - cdn.techscience.cn
The differences in traffic accident severity between urban and rural areas have been widely
studied, but conclusions are still limited. To explore the factors influencing the occurrence of …

Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models

Z Li, Y Ci, C Chen, G Zhang, Q Wu, ZS Qian… - Accident Analysis & …, 2019 - Elsevier
Due to limited visibility and low skid resistance on road surface, single-vehicle crashes
under rain conditions, especially those occurred in rural areas, are more likely to result in …

Machine Learning Prediction of Weather-Induced Road Crash Events for Experienced and Novice Drivers: Insights from a Driving Simulator Study

Z Elamrani Abou Elassad, M Ameksa… - … Conference on Business …, 2023 - Springer
Road crashes are one of the most critical issues that pose a serious threat to our daily life;
Crash occurrences prediction is a key role in designing efficient intelligent transportation …

Analysis of road traffic crashes in the State of Qatar

C Timmermans, W Alhajyaseen… - … journal of injury …, 2019 - Taylor & Francis
Road traffic crashes (RTCs) are globally acknowledged as increasing threat to society,
because they can affect many lives when they result in severe injury or fatality. In the State of …

Injury severity analysis of nighttime work zone crashes

K Zhang, M Hassan - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
Egypt's National Road Project is a large infrastructure project aiming to upgrade 2500
kilometers in the road network as well as constructing 4000 kilometers of new roads to meet …

Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models

Z Li, C Chen, Y Ci, G Zhang, Q Wu, C Liu… - Accident Analysis & …, 2018 - Elsevier
Traffic crashes are more likely to occur at intersections where the traffic environment is
complicated. In this study, a hybrid approach combining cluster analysis and hierarchical …

Analysis on road crash severity of drivers using machine learning techniques

M Mittal, S Gupta, S Chauhan… - International Journal of …, 2022 - inderscienceonline.com
Traffic accidents are significant general well-being concerns, bringing a large number of
deaths and injuries around the globe. To improve driving safety, the examination of traffic …

Investigation of factors associated with heavy vehicle crashes in Iran (Tehran–Qazvin Freeway)

AT Kashani, K Zandi, A Okabe - Sustainability, 2023 - mdpi.com
With the growing demand for transportation and cargo between cities, the proportion of
heavy vehicles in freeway traffic has been increasing in Iran and worldwide during the past …

Comparing machine learning and deep learning methods for real-time crash prediction

A Theofilatos, C Chen… - Transportation research …, 2019 - journals.sagepub.com
Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …

Malaysian road accident severity: Variables and predictive models

CY Ting, NYZ Tan, HH Hashim, CC Ho… - … Science and Technology …, 2020 - Springer
Road accident refers to an incident where at least one land vehicle with one or more people
injured or killed. While there are many variables attributed to road accident, ranging from …